History and goal: Today, the majority countries throughout the world have established the subject regarding winning patients’ satisfaction and promoting services quality on top of their activities. Amid this, six sigma is considered one of the modern tools to boost performance and promote products and services. This study aims to analyze the level of sigma implementation capabilities in Mazandaran- located academic hospital in 2011. \nMethods: This research has been done through a descriptive and cross- sectional method. Statistical community included 4 academic hospital using validation standard country- based hospitals (2011 Ratified health, treatment and medical training department) and has been done in 78 hospital wards. The required information was collected based on author- prepared questionnaire six sigma and with 5 six sigma DMAIC cycle phase and 38 questions and based on Likert spectrum. In data analysis, first Kolmogorov- Smirnov Test was used to test data normalization that after confirming data normality t-test, Binomial test and variance analysis were utilized.\nFindings: According to the results achieved in defining phase, implementation capability was 88% and in measurement phase, six sigma implementation capability was 13%. However, in analysis and promotion and control phase, there was no implementation capability in the mentioned hospitals.\nConclusion: Six sigma from DMAIC cycle perspective has poor influence and lacks proper implementation capability. Thus concerning the special importance of six sigma in health area, particularly treatment, academic officials, special attention and accurate planning by hospital administrators to utilize and implement is inevitable

A rarefied gas flow in a high speed rotating circular cylinder has been researched numerically using the Consistent Boltzmann Algorithm (CBA) scheme and the Direct Simulation Monte-Carlo (DSMC) method. The Argon rarefied gas is supposed to be contained in a rotating cylinder which rotates with angular velocity of 15000 rad/sec. The results of the flow simulation using the CBA scheme is compared with the results of the DSMC method, the analytical solution and the numerical results of Bird[1]. The simulation results using the CBA scheme showed better agreement than the DSMC method results and simulated by Bird[1] in the comparison with the analytical solution.

Wave propagation in the unbounded domains is one of the important engineering issues. To solve this problem, many efforts have been made. This paper elucidates the finite point method which is used to solve the problems of wave propagation in unbounded domains which is considered as one of the best methods in such cases. To afford the reliability of finite point method, wave propagation in unbounded domain against sinusoidal unit point stimulation is considered to be shown.

To investigate the effect of different concentrations of alfalfa and Bermuda grass extracts on callus induction and rye embryo regeneration, the regeneration and growth of rye seedlings were randomly carried out at the Islamic Azad University, Tabriz branch in 2012, using a factorial experiment based on completely randomized design in 3 replicates in both greenhouse and in-vitro conditions. In this study, immature rye embryos were used as explants for generating callus, and water extracts of alfalfa and Bermuda grass were added to the environment with a concentration of 5, 10, 15, 20, 25 and 30 percent. This extract was also used in the regeneration period. The results showed that callus induction from Rye and its components in 5% alfalfa extracts significantly increased compared to the control condition, but increasing alfalfa extract concentration caused a significant reduction in these traits. The use of 25 and 30% alfalfa extracts stopped callus induction and its components. The application of bermuda grass extract with a concentration of 30 %, reduced rye callus induction to 50 percent. Alfalfa extract concentrations of 20 and 25 percent, respectively caused a reduction of 35 and 75 percent in callus fresh weight in comparison with the control conditions. Applying 25 and 30 percent concentrations of bermuda grass extract led to a reduction of 68 and 80% respectively. Alfalfa extracts with 15, 20 and 25 percent concentrations caused reductions of 40, 63 and 69% in rooting. The 30% concentration of alfalfa extract stopped rooting in rye callus. Concentrations of 15, 20, 25 and 30% caused reductions of 31, 50, 55 and 81 percent in the shooting of rye callus, respectively. The results indicate that alfalfa extract had greater effect on rooting, and the bermuda grass extracts had greater effect on shooting.

Abstract. Focusing on high-quality construction, and improving seismic performance of under-construction buildings on one hand, and rapid elimination of housing shortages and/or other spaces and buildings required in the country on the other hand, clarify application of the modern technologies instead of inefficient and traditional systems. Hence, the main aim of this study is to reorganize, prioritize, and determine the status of full construction systems using industrial production methods.\nIn this study, each of the technologies has been evaluated from two main structural and architectural perspectives. In order to obtain the predefined objective, the main element of the research has been studied within the three criteria of quality, economy and speed. It is hoped that every technology will find its special\nposition in the building industry in terms of capability of construction and operation.\nWith due observance to the above mentioned subjects, and in accordance with the results of the present study, common construction methods in the country have not met demands of mass housing construction. Among industrial construction systems, although Light Steel Frame (LSF) has obtained higher status than others have, however, it needs to be modified in order to improve its performance and obtaining better ranking among other technologies.

Water Quality Indices (WQIs) provide a simplified representation of monitoring data by aggregating several water quality parameters. Horton (1965) developed the first WQI, and since then at least 40 indices have been composed. Fuzzy Clustering (FC) is applied here in order to derive an efficient and flexible WQI. FC is a new approach based on fuzzy logic methodology in which the classification of information is determined by a fuzzy relationship, such as a Max-Min function. After selecting a fuzzy similarity relation, the approach is as follow: a fuzzy similarity matrix is established, the selected fuzzy relationship stabilizes it, a dynamic clustering chart is developed and, given a suitable threshold, the appropriate classification is determined. \nIn this work, the selected classification is related to a reach of the water body and is used to identify zones for water quality management. Therefore a general methodology for FC analysis is developed and illustrated with a case study of water quality evaluation for the Karoon River, the largest river in Iran. Many industrial and municipal point sources and agricultural non-point sources of pollution line the Karoon and have caused a high degree of degradation in the river. Hence, in this paper eleven indicators are analyzed to account for a range of water quality impacts. A significant issue in FC is selection of a suitable distance equation to determine the similarity matrix. In this work this problem is addressed by using four well-known equations: the Wang Peizhuang, Cosine, Single linkage, Tajrishy, Canbera Metric, City Block Metrics, and Minkowski Metrics functions. The results of applications of each of these functions are compared and a suitable method for the Karoon River is identified. Based on these results, water quality zoned maps are prepared.\nUnderstanding large and complex data sets and revealing underlying relations and phenomena, and visualizing major tendencies are too difficult. Making sense of data is an ongoing task of researchers and professionals in almost every practical endeavor. The age of information technology, characterized by a vast array of data, has enormously amplified this quest and made it even more challenging. Data collection anytime and everywhere has become the reality of our lives.